High-dimensional Ageome Representations of Biological Aging across Functional Modules.

ABSTRACT: The aging process involves numerous molecular changes that lead to functional decline and increased disease and mortality risk. While epigenetic aging clocks have shown accuracy in predicting biological age, they typically provide single estimates for the samples and lack mechanistic insights. In this study, we challenge the paradigm that aging can be sufficiently described with a single biological age estimate. We describe Ageome, a computational framework for measuring the epigenetic age of thousands of molecular pathways simultaneously in mice and humans. Ageome is based on the premise that an organism's overall biological age can be approximated by the collective ages of its functional modules, which may age at different rates and have different biological ages. We show that, unlike co

SUBMITTER: Ying K 

PROVIDER: S-EPMC11429788 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature